A spectral learning approach to knowledge tracing

Proceedings of the 6th International Conference on Educational Data Mining, EDM 2013

Volumn , Issue , 2013, Pages

  Falakmasir, Mohammad H ^a   Pardos, Zachary A ^b   Gordon, Geoffrey J ^c   Brusilovsky, Peter ^a  

^a UNIVERSITY OF PITTSBURGH   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c Carnegie Mellon University ^*  (United States)

Author keywords

Bayesian knowledge tracing; Spectral learning

Indexed keywords

COGNITIVE SYSTEMS; DATA MINING; DYNAMICAL SYSTEMS; HIDDEN MARKOV MODELS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; MAXIMUM PRINCIPLE; NATURAL LANGUAGE PROCESSING SYSTEMS; OPTIMIZATION;

APPROXIMATE FACTORIZATION; BAYESIAN KNOWLEDGE TRACINGS; EXPECTATION MAXIMIZATION; NATURAL LANGUAGE PROCESSING; PREDICTION ACCURACY; PREDICTIVE STATE REPRESENTATION; SPECTRAL LEARNING; SPECTRAL TECHNIQUES;

STUDENTS;

EID: 85084012147     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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